Establishment and internal-external validation of a 28-day mortality prediction model for septic shock patients with left ventricular systolic dysfunction - Report - MDSpire
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Establishment and internal-external validation of a 28-day mortality prediction model for septic shock patients with left ventricular systolic dysfunction
Clinical Report: Development and validation of a 28-day mortality risk assessment model
Overview
This study establishes a 28-day mortality prediction model for septic shock patients with left ventricular systolic dysfunction (LVSD). The model demonstrates excellent discriminative power and is validated internally and externally.
Background
Septic shock is a leading cause of mortality in intensive care units, with a high incidence of left ventricular systolic dysfunction (LVSD) among affected patients. Traditional prognostic models often lack specificity.
Data Highlights
Predictor
Odds Ratio
Left ventricular systolic dysfunction
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Decreased pH
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Atrial arrhythmia
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Dopamine use
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Reduced PaO2/FiO2
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Key Findings
The model identified independent predictors of 28-day mortality: LVSD, decreased pH, atrial arrhythmia, dopamine use, and reduced PaO2/FiO2.
The area under the ROC curve (AUC) for the training cohort was 0.767.
Internal validation yielded a mean AUC of 0.779.
The model showed superior predictive performance compared to the APACHE II score (0.767 vs. 0.652, P = 0.006).
A web-based dynamic nomogram calculator has been developed for public use.
Clinical Implications
The developed model provides a robust tool for clinicians to assess mortality risk in septic shock patients with LVSD. Its superior performance compared to existing models may facilitate earlier interventions and improved patient management.
Conclusion
The 28-day mortality prediction model offers a tool for risk stratification for septic shock patients with LVSD.